.github/workflows/daily_ingest.yml

name: Daily 800 Movie Reset

on:
  schedule:
    # Runs at 00:00 UTC every day
    - cron: '0 0 * * *'
  # Allows you to click "Run Now" manually for testing
  workflow_dispatch:

jobs:
  daily-reset:
    runs-on: ubuntu-latest
    permissions:
      contents: write  # Allows the bot to push the new database back to the repo

    steps:
      # 1. Checkout the code
      - name: Checkout Repository
        uses: actions/checkout@v4
        with:
          lfs: true # Important: Download the LFS files (models)

      # 2. Setup Python
      - name: Set up Python 3.9
        uses: actions/setup-python@v5
        with:
          python-version: '3.9'

      # 3. Install Dependencies
      - name: Install Libraries
        run: |
          pip install -r requirements.txt

      # 4. Run the Ingest Script
      # We pass the API Key securely
      - name: Run Ingest Script (800 Movies)
        env:
          TMDB_API_KEY: ${{ secrets.TMDB_API_KEY }}
          # This variable tells python we are in GitHub Actions
          GITHUB_ACTIONS: "true"
        run: |
          python -m src.ingest

      # 5. Save the New Brain to GitHub
      - name: Commit and Push New Database
        run: |
          git config --global user.email "Jaykay73@users.noreply.github.com"
          git config --global user.name "Jaykay73"
          
          # Force add the models folder (ignoring .gitignore if present)
          git add -f models/
          
          # Commit with a timestamp
          git commit -m "🔄 Daily Refresh: 800 Top Movies $(date)" || exit 0
          
          # Force push because we are overwriting LFS files
          git push origin main